@BOOK{Altman91,
  AUTHOR =      {D.~G.~Altman},
  TITLE =       {Practical Statistics for Medical Research},
  PUBLISHER =   {Chapman \& Hall / CRC},
  ADDRESS =     {London},
  YEAR =        {1991},
  isbn =        {0412276305}
}

%@InProceedings{ArsignyEA03,
%  author =      {Vincent Arsigny and Xavier Pennec and Nicholas Ayache},
%  title =       {Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration},
%  booktitle =   {MICCAI},
%  series =      {Lecture Notes in Computer Science},
%  volume =      {2879},
%  publisher =   {Springer Verlag},
%  dummyaddress =     {},
%  year =        {2003},
%  pages =       {829 - 837},
%  dummymonth =       {},
%}


@article{Cohen60,
  author =       {J.~Cohen},
  title =        {A coefficient of agreement for nominal scales},
  journal =      {Educational and Psychological Measurement},
  year =         {1960},
  volume =       {20},
  pages =        {37 - 46},
  number =       {1},
  dummymonth =       {July},
}

@article{Cohen68,
  author =       {J.~Cohen},
  title =        {Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit},
  journal =      {Psychological Bulletin},
  year =         {1968},
  volume =       {70},
  pages =        {213 - 220},
  number =       {},
  dummymonth =       {July},
}

@article{Fleiss71,
  author =       {J.~L.~Fleiss},
  title =        {Measuring Nominal Scale Agreement among Many Raters},
  journal =      {Psychological Bulletin},
  year =         {1971},
  volume =       {76},
  pages =        {378 - 382},
  number =       {5},
  dummymonth =       {},
}

@BOOK{Fleiss81,
  AUTHOR =      {J.~L.~Fleiss},
  TITLE =       {Statistical Methods for Rates and Proportions},
  PUBLISHER =   {Wiley-Interscience},
  ADDRESS =     {New York},
  YEAR =        {1981},
  edition =     {2nd},
  isbn =        {0-471-06428-9}
}

@ARTICLE{LandisEA77,
  author =       {R.~J.~Landis and G.~G.~Koch},
  title =        {The measurement of observer agreement for categorical data},
  journal =      {Biometrics},
  year =         {1977},
  volume =       {33},
  number =       {1},
  pages =        {159 - 174},
  dummymonth =   {March}
}
